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We developed an end-to-end Retrieval-Augmented Generation (RAG) system designed for intelligent document processing and semantic search over large PDF collections. The system is powered by a local fine-tuned LLaMA model and integrates FastAPI for backend orchestration, Qdrant as a high-performance vector database, and Streamlit for an interactive user interface. Key features include PDF ingestion, automatic embedding generation, predictive tagging using KeyBERT, contextual document retrieval, and a modular architecture ready for further AI agent extensions.
• Automated document classification and tagging improved discoverability and metadata richness.
• Local LLM reduced cost and improved data privacy, especially for proprietary documentation.
• System is modular and extendable — future plans include RAG agents and voice-based querying.
Our second branch DatameshEngine product enables plug-and-play replication between any source and destination database—relational, NoSQL, or cloud-native—supporting peer-to-peer (P2P) replication, blockchain-based synchronization, and high-performance streaming integration via Kafka.
Specialties:
• Real-time database replication and synchronization
• LLM + RAG systems with local models (LLaMA 3, Mistral)
• LoRA fine-tuning and deployment for domain-specific tasks (CVs, contracts, finance)
• AI observability: Prometheus + Grafana for LLM applications
• Cloud-native and on-prem AI integration (FastAPI, Ollama, Qdrant, Kafka, S3)
Our flagship products:
1. DataSync P2P – distributed database replication and synchronization
2. RAGBase AI – local RAG system with PDF ingestion and monitoring
3. LoRA Forge – tool for training and exporting LoRA adapters (GGUF-ready)
4. InsightProbe – observability system for LLM applications
5. FastDoc Tagger – CV & document tagging powered by fine-tuned LLMs
Company Details
- Employees
- 1
- Founded
- -
- Address
- Brussels, Be
- Industry
- Data Infrastructure And Analytics
- Website
- http://www.datameshsync.info
- Keywords
- Data engineering, database development, database architecture, Microservices, Software engineering, LLM, LoRA, GGUF, RAG, Generative AI, Prompt engineering.
- HQ
- Brussels
Datameshsync Questions
DataMeshSync's website is http://www.datameshsync.info
DataMeshSync's LinkedIn profile is https://be.linkedin.com/company/datamesh-sync
DataMeshSync has
1 employees.
View email and phone details for 1
employees at DataMeshSync.
DataMeshSync's industry is
Data Infrastructure and Analytics
DataMeshSync's top competitors are
Epam Systems,
Bleubird Ai,
Seavus,
Infobip,
Vectorsight.tech,
Nf Innova,
Prodapt.
DataMeshSync's categories are Data Infrastructure and Analytics
DataMeshSync's founding year is 2013
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